class_docstr: Base class of context encoders for training meta-RL algorithms.
docstr: int: Dimension of the encoder output (embedding).
docstr_tok: ["int",":","Dimension","of","the","encoder","output","(","embedding",")","."]
code: def output_dim(self):
      """int: Dimension of the encoder output (embedding)."""
  
file_path: garage/src/garage/np/embeddings/encoder.py
imports: import abc
label_desc: Use image node_id 3 for calling the Encoder obj's underlying member method code with example usage: obj.output_dim() without return types